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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

Sixty-six percent of C-level executives are ambivalent or dissatisfied with the progress of their AI or GenAI efforts, according to Boston Consulting Group 1. Reach consensus on strategy. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. But how do you get there?

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Decoding Salesforce’s plausible $11 billion bid to acquire Informatica

CIO Business Intelligence

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts.

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Finding Data Quality

Jim Harris

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? These discussions are a critical prerequisite for determining data usage, standards, and the business relevant metrics for measuring and improving data quality.

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Salesforce certification guide: Roles, paths, exams, cost, training, requirements

CIO Business Intelligence

Salesforce certification overview Salesforce certifications are based on a role-based scheme centered on six roles: Administrator, Architect, Consultant, Designer, Developer, and Marketer. According to a study by Indeed.com , 70% of Salesforce developers in the US are satisfied with their salaries given the cost of living in their area.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

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Top 10 Data Lineage Podcasts, Blogs, and Magazines

Octopai

Data lineage is an essential tool that among other benefits, can transform insights, help BI teams understand the root cause of an issue, as well as help achieve and maintain compliance. Through the use of data lineage, companies can better understand their data and its journey. TDWI – Philip Russom. Techcopedia.